Many Labs 2: Investigating Variation in Replicability Across Samples and Settings

We conducted preregistered replications of 28 classic and contemporary published findings, with protocols that were peer reviewed in advance, to examine variation in effect magnitudes across samples and settings. Each protocol was administered to approximately half of 125 samples that comprised 15,305 participants from 36 countries and territories. Using the conventional criterion of statistical significance (p < .05), we found that 15 (54%) of the replications provided evidence of a statistically significant effect in the same direction as the original finding. With a strict significance criterion (p < .0001), 14 (50%) of the replications still provided such evidence, a reflection of the extremely highpowered design. Seven (25%) of the replications yielded effect sizes larger than the original ones, and 21 (75%) yielded effect sizes smaller than the original ones. The median comparable Cohen’s ds were 0.60 for the original findings and 0.15 for the replications. The effect sizes were small (< 0.20) in 16 of the replications (57%), and 9 effects (32%) were in the direction opposite the direction of the original effect. Across settings, the Q statistic indicated significant heterogeneity in 11 (39%) of the replication effects, and most of those were among the findings with the largest overall effect sizes; only 1 effect that was near zero in the aggregate showed significant heterogeneity according to this measure. Only 1 effect had a tau value greater than .20, an indication of moderate heterogeneity. Eight others had tau values near or slightly above .10, an indication of slight heterogeneity. Moderation tests indicated that very little heterogeneity was attributable to the order in which the tasks were performed or whether the tasks were administered in lab versus online. Exploratory comparisons revealed little heterogeneity between Western, educated, industrialized, rich, and democratic (WEIRD) cultures and less WEIRD cultures (i.e., cultures with relatively high and low WEIRDness scores, respectively). Cumulatively, variability in the observed effect sizes was attributable more to the effect being studied than to the sample or setting in which it was studied.UCR::Vicerrectoría de Investigación::Unidades de Investigación::Ciencias Sociales::Instituto de Investigaciones Psicológicas (IIP

Complementary and Alternative Medicine Use in Hospitalized Cancer Patients&mdash;Study from Silesia, Poland

Background: The use of complementary and alternative medicine (CAM) is common amongst cancer patients. The aim of the study was to investigate the use of CAM, beliefs about CAM and the purpose of using it amongst Polish cancer patients. Methods: The study included 864 cancer patients (median 63 years old), who were individually interviewed. The questionnaire was designed specifically for this study. Results: Amongst 732 patients who declared that they heard about CAM, 342 patients (46.7%) had used CAM; 91% of these patients had used it as a complementary therapy and 9% had used it as an alternative therapy. Patients younger in age, highly educated, professionally active, with longer medical history, and at more advanced cancer stages have, statistically, used CAM more often; 66% of participants could not state what the health effect of CAM is. Patients received information about CAM from the internet, friends, family and other patients. Only 18% of patients discussed using CAM with a doctor. Conclusions: CAM was popular amongst Polish cancer patients, especially in younger, educated and professionally active patients with longer cancer history at advanced stage. Patients used CAM as a complementary therapy for strengthening immune system, improving morphological and biochemical test parameters, reducing the side effects of conventional therapy and improving their well-being